Prompt vector generation method and device, equipment and medium
By acquiring multimodal information of target users, performing feature extraction and word embedding processing, and combining correlation analysis and information fusion techniques to generate target prompt vectors, the problem of personalization in existing prompt vector generation schemes is solved, thus improving the customization effect of financial services.
CN122114141APending Publication Date: 2026-05-29PING AN TECH (SHENZHEN) CO LTD
0 Cites 0 Cited by
Patent Information
- Application Number
- CN202610049868.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-01-14
- Publication Date
- 2026-05-29
AI Technical Summary
Technical Problem
Existing prompt vector generation schemes are difficult to personalize and customize, making it difficult to provide personalized services to users in financial scenarios.
Method used
By acquiring multimodal information of target users, feature extraction and word embedding are performed to generate personalized query vectors. Based on relevance analysis and information fusion technology, relevant information is fused with a pre-built industry knowledge hint library to generate target hint vectors, combining user-specific features and global common features.
Benefits of technology
It enables personalized and customized processing of prompt vectors, improving the execution effect of downstream tasks such as insurance recommendations and risk control decisions.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention relates to the technical field of large models, and provides a prompt vector generation method and device, equipment and a medium. The method comprises the steps that feature extraction and embedding are conducted on multi-modal information of a target user, and a personalized query vector carrying personalized features of the target user is generated; and carrying out related information fusion on the personalized query vector and a pre-constructed industry knowledge prompt library to generate a target prompt vector of the target user. The target prompt vector is determined by combining the personalized characteristics of the target user and the general characteristics of the global user, so that personalized and customized processing of the prompt vector is realized. The method can be applied to a financial scene, when downstream tasks such as insurance recommendation generate personalized execution results for users according to target prompt vectors, personalized features of target users and global user common features can be referred to at the same time, and while the personalization of the target users is concerned, the method does not deviate from gradually presented rules or trends in an insurance service scene, and the user experience is improved. Therefore, the execution effect of downstream tasks is improved.
Need to check novelty before this filing date? Find Prior Art